Managing the Cost of Usable Data Centers

The main topic of this paper is to identify problems and present an overview of Data Center environments. To identify problems and present the overviews of business data environments and the cost of usable data center for small-midsize business organization based type of requirements on the design is one of the most important concepts of managing cost. To maximized data center efficiency administrators implement Blade Server, Virtualization, SOA, and other recent technologies. The project process will focus on most leased data centers with provided space rather than specific applications that trend the way of design, and eliminating the significant impact of multiple physical storage devices. Data Centers are complex systems with a variety of technologies that require constantly evolving skills and knowledge that range from routing and switching to load balancing and security. This project will include research, collecting sources, discussing the issues associated with network attacks Data Centers, and reviewing the other key areas related to data center development will be cover the way server availability will describes how to design a highly available infrastructure, and describes how a load balancing device can monitor the availability of applications and servers

Cloud Multi-Tenancy: Issues and Developments

Cloud Computing (CC) is a computational paradigm that provides pay-per use services to customers from a pool of networked computing resources that are provided on demand. Customers therefore does not need to worry about infrastructure or storage. Cloud Service Providers (CSP) make custom built applications available to customers online. Also, organisations and enterprises can build and deploy applications based on platforms provided by the Cloud service provider. Scalable storage and computing resources is also made available to consumers on the Clouds at a cost. Cloud Computing takes virtualization a step further through the use of virtual machines, it allows several customers share the same physical machine. In addition, it is possible for numerous customers to share applications provided by a CSP; this sharing model is known as multi-tenancy. Though Multi-tenancy has its drawbacks but however, it is highly desirable based on its cost efficiency. This paper presents the comprehensive study of existing literatures on relevant issues and development relating to cloud multitenancy using reliable methods. This study examines recent trends in the area of cloud multi-tenancy and provides a guide for future research. The analyses of this comprehensive study was based on the following questions relating to recent study in multi-tenancy which are: what is the current trend and development in cloud multi-tenancy? Existing publications were analyzed in this area including journals, conferences, white papers and publications in reputable magazines. The expected result at the end of this review is the identification of trends in cloud multi-tenancy. This will be of benefit to prospective cloud users and even cloud providers

Towards a secure service provisioning framework in a Smart city environment

© 2017 Elsevier B.V. Over the past few years the concept of Smart cities has emerged to transform urban areas into connected and well informed spaces. Services that make smart cities “smart” are curated by using data streams of smart cities i.e., inhabitants’ location information, digital engagement, transportation, environment and local government data. Accumulating and processing of these data streams raise security and privacy concerns at individual and community levels. Sizeable attempts have been made to ensure the security and privacy of inhabitants’ data. However, the security and privacy issues of smart cities are not only confined to inhabitants; service providers and local governments have their own reservations — service provider trust, reliability of the sensed data, and data ownership, to name a few. In this research we identified a comprehensive list of stakeholders and modelled their involvement in smart cities by using the Onion Model approach. Based on the model we present a security and privacy-aware framework for service provisioning in smart cities, namely the ‘Smart Secure Service Provisioning’ (SSServProv) Framework. Unlike previous attempts, our framework provides end-to-end security and privacy features for trustable data acquisition, transmission, processing and legitimate service provisioning. The proposed framework ensures inhabitants’ privacy, and also guarantees integrity of services. It also ensures that public data is never misused by malicious service providers. To demonstrate the efficacy of SSServProv we developed and tested core functionalities of authentication, authorisation and lightweight secure communication protocol for data acquisition and service provisioning. For various smart cities service provisioning scenarios we verified these protocols by an automated security verification tool called Scyther

Evaluating and Enabling Scalable High Performance Computing Workloads on Commercial Clouds

Performance, usability, and accessibility are critical components of high performance computing (HPC). Usability and performance are especially important to academic researchers as they generally have little time to learn a new technology and demand a certain type of performance in order to ensure the quality and quantity of their research results. We have observed that while not all workloads run well in the cloud, some workloads perform well. We have also observed that although commercial cloud adoption by industry has been growing at a rapid pace, its use by academic researchers has not grown as quickly. We aim to help close this gap and enable researchers to utilize the commercial cloud more efficiently and effectively. We present our results on architecting and benchmarking an HPC environment on Amazon Web Services (AWS) where we observe that there are particular types of applications that are and are not suited for the commercial cloud. Then, we present our results on architecting and building a provisioning and workflow management tool (PAW), where we developed an application that enables a user to launch an HPC environment in the cloud, execute a customizable workflow, and after the workflow has completed delete the HPC environment automatically. We then present our results on the scalability of PAW and the commercial cloud for compute intensive workloads by deploying a 1.1 million vCPU cluster. We then discuss our research into the feasibility of utilizing commercial cloud infrastructure to help tackle the large spikes and data-intensive characteristics of Transportation Cyberphysical Systems (TCPS) workloads. Then, we present our research in utilizing the commercial cloud for urgent HPC applications by deploying a 1.5 million vCPU cluster to process 211TB of traffic video data to be utilized by first responders during an evacuation situation. Lastly, we present the contributions and conclusions drawn from this work

Citizens Adoption and Intellectual Capital Approach

학위논문 (박사)-- 서울대학교 대학원 : 공과대학 협동과정 기술경영·경제·정책전공, 2019. 2. Hwang, Junseok .The emergence of knowledge intensive industries gave rise to the issue of intellectual capital management which is used as an instrument to identify and measure the hidden sources of value creation at the firm, regional and national level. Knowledge-intensive companies are rated much higher than their book value suggests, and thus need to identify the intangible valuables of the company for the improvement and sustainability of their learning and capitalization system. Intellectual capital components are the key resources that can be leveraged for smart city development which intends to use information and communication technologies in order to bring efficiency and sustainability to the urban functions. The role of intellectual capital components in smart city implementation needs to be studied due to the fact that attributes of intellectual capital components would have a distinguished impact on value creation and the increase in productivity and performance. Despite the existence of a significant number of literatures on intellectual capital, the role of its components in the success of smart city implementation has not been examined. This research aims to investigate the role of intellectual capital components towards smart city success using an analysis of experts preferences for human capital and structural capital. The research also includes the demand-side perspective towards smart city information services characteristics that influences the adoption decision. The analysis is performed using two methodologies: Analytics Hierarchy Process (AHP) for human capital and structural capital and discrete choice analysis using a mixed logit model for the adoption of smart city information services. The first study employs a multidimensional approach to the development of a model for human capital using individual-level characteristics and the collective behavior. The identification of the sources of value in human capital is critical to the success of smart city implementations as these capabilities can be leveraged and upgraded to improve productivity and performance. Human capital components have been categorized into personal qualifications, personal traits, culture and social factors. The findings reveal that the most important category is personal qualifications followed by culture. Moreover, the overall priority weights estimation shows that the existence of domain-specific tacit knowledge gained through experience, the multi-disciplinary scope of education and the density of R&D personnel are the top-three ranked attributes of human capital towards smart city success. The study on the structural capital examined 24 smart city cases across the globe to identify the structural capital elements valuable in the smart city development process. The different orchestration of these structural capital elements can influence the outcome of the development process and its impact on the efficiency of the urban systems. The identified structural capital elements have been categorized into process, relational and infrastructural dimensions. The findings reveal that the infrastructural dimension comprising communication and information system is most critical towards the smart city success, followed by the process category with the most dominant component of policy. The overall ranking of these elements suggest that the decision makers need to focus on city-level policies and the development and enforcement of procedures for innovation generation. Finally, the citizens preferences analysis was performed for the case of Islamabad city in Pakistan which is at the early stage of smart city development and can benefit from a better understanding of the demand-side perspective. The characteristics of smart city information services considered in the study comprise language, access mode, service ownership, interoperability and security. Willingness-to-pay was used to observe the price sensitivity of the end users choices. The findings reveal that citizens in Islamabad have a higher utility towards the use of the English language, a mobile access mode and a high level of security. In conclusion, the study provides guidelines for policy makers who are concerned with the early stage of smart city development. The demand-side study of Islamabad city provides valuable insights in to existing trends that affect the rapid adoption of smart city services.국문초록 지식집약적 산업의 출현으로 기업, 지역 및 국가 차원에서 가치 창출의 숨겨진 출처를 파악하고 측정하는 도구로 사용되는 지적 자본 관리가 쟁점으로 떠올랐다. 지식집약적 기업은 순자산보다 훨씬 높은 평가를 받고 있기 때문에 그들의 학습과 자본화 시스템의 개선과 지속 가능성을 위해 회사의 무형 가치를 확인할 필요가 있다. 지적 자본요소는 정보통신 기술을 이용해 도시 기능에 효율성과 지속성을 높이는 스마트 시티 개발에 활용될 수 있는 핵심 자원이다. 지적 자본 요소의 속성은 가치 창출과 생산성 및 성능 향상에 가변적인 영향을 미칠 수 있기 때문에 스마트 시티 구현에서의 지적 자본 요소의 역할을 연구할 필요가 있다. 지적 자본에 관한 중요한 연구 문헌들이 있지만 스마트 시티의 성공적인 구현을 위한각 요소들의 역할은 검토되지 않았다. 이 연구는 인적자본과 구조자본에 대한 전문가의 선호도 분석을 사용하여 스마트 시티의 성공을 위한 지적 자본 요소의 역할 조사를 목적으로 한다. 또한 수용 의사 결정에 영향을 미치는 스마트 시티 정보 서비스 특성에 대한 수요 측면의 관점도 조사한다. 분석은 인적 자본 및 구조적 자본을 위한 분석 계층 프로세스(AHP)와 스마트 시티 정보 서비스 채택을 위한 혼합 로짓 모델을 이용한 이산 선택 분석이라는 두 가지 방법을 사용한다. 첫 번째 연구는 다차원적 접근법을 사용해 개인 수준의 특성과 집단 행동을 이용한 인적 자본에 대한 모델을 개발한다. 인적 자본의 가치의 근원을 식별하는 것은 스마트 시티 구현 성공에 매우 중요하다. 이러한 능력들이 활용되고 개선되어 생산성과 성능을 향상시킬 수 있기 때문이다. 인적 자본 요소는 개인의 자격, 성격, 문화, 사회적 요인으로 분류되었다. 그 결과, 첫번째로 중요한 것은 개인의 자격요건이며 두번째는 문화임을 밝혀냈다. 또한, 전체적인 우선순위 가중치 추정은 경험을 통해 얻은 도메인 고유의 암묵적 지식의 존재, 다분야의 교육 범위 및 R&D 인력의 밀도는 스마트 시티 성공을 위한 인적 자본의 상위 3대 속성임을 보여준다. 구조적 자본에 관한 연구는 전 세계 24개 스마트 시티 사례를 조사해 스마트 시티 개발 과정에서 가치 있는 구조적 자본의 요소를 확인했다. 서로 다른 구조적 자본 요소의 조정은 개발 프로세스의 결과와 도시 시스템의 효율성에 영향을 미칠 수 있다. 확인된 구조적 자본 요소는 프로세스, 관계 및 기반 구조 차원으로 분류되었다. 이는 통신과 정보 시스템을 구성하는 기반 구조의 차원이 스마트 시티의 성공에 가장 중요하며 그 다음으로 정책의 가장 우세한 구성 요소를 가진 프로세스 범주가 중요하다는 것을 보여준다. 이들 요소의 전체 순위는 의사결정자들이 혁신 생성을 위한 도시 수준의 정책과 절차 개발과 집행에 초점을 맞출 필요가 있음을 시사한다. 마지막으로, 스마트 시티 개발의 초기 단계에 있으며 수요 측면 관점에서 유용할 수 있는 파키스탄의 이슬라마바드 도시에 대한 시민의 선호 분석이 이루어졌다. 본 연구에서 고려한 스마트 시티 정보 서비스의 특성은 언어, 접근 모드, 서비스 소유권, 상호운용성 및 보안으로 구성된다. 지불 의지는 최종 사용자의 선택에 따른 가격 민감도를 관찰하기 위해 사용되었다. 연구 결과는 이슬라마바드 시민들이 높은 수준의 보안과 함께 영어 사용에 더 높은 효용을 가지고 있다는 것을 보여준다. 결론적으로, 이 연구는 특별히 스마트 시티 개발의 초기 단계에 있는 정책 입안자들을 위한 지침을 제공한다. 이슬라마바드시에 대한 수요 측면 연구는 스마트 시티 서비스의 신속한 채택을 지원하는 기존 추세에 대한 귀중한 통찰력을 제공한다. 주요 단어: 스마트 시티, 지적 자본, 인적 자본, 구조적 자본, 정보 서비스Chapter 1 Introduction 1 1.1 Overview 1 1.2 Purpose of the Research 9 1.3 Contribution of the Research 12 1.4 Research Outline 15 Chapter 2 Literature Review 18 2.1 Smart Cities 18 2.1.1 Smart City Definitions 19 2.1.2 Smart City Components 22 2.1.3 Smart City Systems Architecture 28 2.2 Intellectual Capital 30 2.2.1 Existing Studies on Intellectual Capital 32 2.2.2 Intellectual Capital and Smart Cities 37 2.2.3 Intellectual Capital Components 39 Chapter 3 Study on the Role of Human Capital for Smart City Success 50 3.1 Model 52 3.1.1 Personal Qualifications 54 3.1.2 Personal Traits 57 3.1.3 Culture 58 3.1.4 Social Factors 59 3.2 Methodology 60 3.2.1 Survey for Analytic Hierarchy Process 63 3.3 Estimation of Results 66 Chapter 4 Study on Structural Capital Role for Smart City Success 74 4.1 Model 77 4.1.1 Process Elements 77 4.1.2 Relational Elements 81 4.1.3 Infrastructural Elements 82 4.2 Methodology 85 4.2.1 Survey for Analytic Hierarchy Process 85 4.3 Estimation of Results 87 Chapter 5 Adoption of Smart City Information Services 95 5.1 Citizens Preferences Analysis towards the Adoption of Smart City Information Services 95 5.2 Model 97 5.3 Methodology 101 5.3.1 Random Utility Model 101 5.3.2 Willingness to Pay 104 5.4 Survey Design and Data 105 5.4.1 Survey for Discrete Choice Analysis 105 5.5 Estimation of Results 109 Chapter 6 Discussion and Conclusion 115 6.1 Discussion and Implications 115 6.2 Conclusion 128 6.3 Limitations and Future Work 131 References 134 Appendix A: Description of Attributes for AHP Survey 152 Appendix B: Survey Questionnaire for AHP 155 Appendix C: Conjoint Survey for Citizens Preference Analysis 163 국문초록 166 Acknowledgments 169Docto

Community rotorcraft air transportation benefits and opportunities

Information about rotorcraft that will assist community planners in assessing and planning for the use of rotorcraft transportation in their communities is provided. Information useful to helicopter researchers, manufacturers, and operators concerning helicopter opportunities and benefits is also given. Three primary topics are discussed: the current status and future projections of rotorcraft technology, and the comparison of that technology with other transportation vehicles; the community benefits of promising rotorcraft transportation opportunities; and the integration and interfacing considerations between rotorcraft and other transportation vehicles. Helicopter applications in a number of business and public service fields are examined in various geographical settings

Data center resilience assessment : storage, networking and security.

Data centers (DC) are the core of the national cyber infrastructure. With the incredible growth of critical data volumes in financial institutions, government organizations, and global companies, data centers are becoming larger and more distributed posing more challenges for operational continuity in the presence of experienced cyber attackers and occasional natural disasters. The main objective of this research work is to present a new methodology for data center resilience assessment, this methodology consists of: • Define Data center resilience requirements. • Devise a high level metric for data center resilience. • Design and develop a tool to validate and the metric. Since computer networks are an important component in the data center architecture, this research work was extended to investigate computer network resilience enhancement opportunities within the area of routing protocols, redundancy, and server load to minimize the network down time and increase the time period of resisting attacks. Data center resilience assessment is a complex process as it involves several aspects such as: policies for emergencies, recovery plans, variation in data center operational roles, hosted/processed data types and data center architectures. However, in this dissertation, storage, networking and security are emphasized. The need for resilience assessment emerged due to the gap in existing reliability, availability, and serviceability (RAS) measures. Resilience as an evaluation metric leads to better proactive perspective in system design and management. The proposed Data center resilience assessment portal (DC-RAP) is designed to easily integrate various operational scenarios. DC-RAP features a user friendly interface to assess the resilience in terms of performance analysis and speed recovery by collecting the following information: time to detect attacks, time to resist, time to fail and recovery time. Several set of experiments were performed, results obtained from investigating the impact of routing protocols, server load balancing algorithms on network resilience, showed that using particular routing protocol or server load balancing algorithm can enhance network resilience level in terms of minimizing the downtime and ensure speed recovery. Also experimental results for investigating the use social network analysis (SNA) for identifying important router in computer network showed that the SNA was successful in identifying important routers. This important router list can be used to redundant those routers to ensure high level of resilience. Finally, experimental results for testing and validating the data center resilience assessment methodology using the DC-RAP showed the ability of the methodology quantify data center resilience in terms of providing steady performance, minimal recovery time and maximum resistance-attacks time. The main contributions of this work can be summarized as follows: • A methodology for evaluation data center resilience has been developed. • Implemented a Data Center Resilience Assessment Portal (D$-RAP) for resilience evaluations. • Investigated the usage of Social Network Analysis to Improve the computer network resilience

Supporting IT Service Fault Recovery with an Automated Planning Method

Despite advances in software and hardware technologies, faults are still inevitable in a highly-dependent, human-engineered and administrated IT environment. Given the critical role of IT services today, it is imperative that faults, having once occurred, have to be dealt with eciently and eeffectively to avoid or reduce the actual losses. Nevertheless, the complexities of current IT services, e.g., with regard to their scales, heterogeneity and highly dynamic infrastructures, make the recovery operation a challenging task for operators. Such complexities will eventually outgrow the human capability to manage them. Such diculty is augmented by the fact that there are few well-devised methods available to support fault recovery. To tackle this issue, this thesis aims at providing a computer-aided approach to assist operators with fault recovery planning and, consequently, to increase the eciency of recovery activities.We propose a generic framework based on the automated planning theory to generate plans for recoveries of IT services. At the heart of the framework is a planning component. Assisted by the other participants in the framework, the planning component aggregates the relevant information and computes recovery steps accordingly. The main idea behind the planning component is to sustain the planning operations with automated planning techniques, which is one of the research fields of articial intelligence. Provided with a general planning model, we show theoretically that the service fault recovery problem can be indeed solved by automated planning techniques. The relationship between a planning problem and a fault recovery problem is shown by means of reduction between these problems. After an extensive investigation, we choose a planning paradigm that based on Hierarchical Task Networks (HTN) as the guideline for the design of our main planning algorithm called H2MAP. To sustain the operation of the planner, a set of components revolving around the planning component is provided. These components are responsible for tasks such as translation between dierent knowledge formats, persistent storage of planning knowledge and communication with external systems. To ensure extendibility in our design, we apply dierent design patterns for the components. We sketch and discuss the technical aspects of implementations of the core components. Finally, as proof of the concept, the framework is instantiated to two distinguishing application scenarios

Rational Cybersecurity for Business

Use the guidance in this comprehensive field guide to gain the support of your top executives for aligning a rational cybersecurity plan with your business. You will learn how to improve working relationships with stakeholders in complex digital businesses, IT, and development environments. You will know how to prioritize your security program, and motivate and retain your team. Misalignment between security and your business can start at the top at the C-suite or happen at the line of business, IT, development, or user level. It has a corrosive effect on any security project it touches. But it does not have to be like this. Author Dan Blum presents valuable lessons learned from interviews with over 70 security and business leaders. You will discover how to successfully solve issues related to: risk management, operational security, privacy protection, hybrid cloud management, security culture and user awareness, and communication challenges. This open access book presents six priority areas to focus on to maximize the effectiveness of your cybersecurity program: risk management, control baseline, security culture, IT rationalization, access control, and cyber-resilience. Common challenges and good practices are provided for businesses of different types and sizes. And more than 50 specific keys to alignment are included. What You Will Learn Improve your security culture: clarify security-related roles, communicate effectively to businesspeople, and hire, motivate, or retain outstanding security staff by creating a sense of efficacy Develop a consistent accountability model, information risk taxonomy, and risk management framework Adopt a security and risk governance model consistent with your business structure or culture, manage policy, and optimize security budgeting within the larger business unit and CIO organization IT spend Tailor a control baseline to your organization’s maturity level, regulatory requirements, scale, circumstances, and critical assets Help CIOs, Chief Digital Officers, and other executives to develop an IT strategy for curating cloud solutions and reducing shadow IT, building up DevSecOps and Disciplined Agile, and more Balance access control and accountability approaches, leverage modern digital identity standards to improve digital relationships, and provide data governance and privacy-enhancing capabilities Plan for cyber-resilience: work with the SOC, IT, business groups, and external sources to coordinate incident response and to recover from outages and come back stronger Integrate your learnings from this book into a quick-hitting rational cybersecurity success plan Who This Book Is For Chief Information Security Officers (CISOs) and other heads of security, security directors and managers, security architects and project leads, and other team members providing security leadership to your busines

ACUTA Journal of Telecommunications in Higher Education

In This Issue lT Market Clock for Enterprise Networking lnfrastructure, 2010 Emerging Technology Trends-Finding the Next Big Thing Money and Mobile Access Challenge Community Colleges A Business Perspective on Hosted Communications FMC: Ready to Fly or Flop? Challenges Facing Broadband Wireless Providers Deploying IEEE 802.11n Data and Security Networks Campuswide While Optimizing Energy Efficiency Interview President\u27s Message. From the Executive Director O&A from the CI